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The Laboratory of Artificial Intelligence (LIA) at EPFL focuses on developing artificial intelligence solutions to help people navigate modern artificial, abstract environments. Their research delves into data-driven approaches using machine learning techniques, with a particular emphasis on game theory for data science, crowdsourcing, and human computation. LIA has made significant contributions to privacy-preserving AI, federated learning, and decentralized oracles for public interest questions. Noteworthy recent achievements include the development of algorithms like Altruistic Matching Heuristic (ALMA) for large-scale distributed resource allocation problems, explanations of AI system actions using generative natural language models, and a new privacy definition called Bayesian Differential Privacy for machine learning.